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from builtins import zip 

from builtins import str 

import matplotlib 

matplotlib.use("Agg") 

import numpy as np 

import matplotlib 

matplotlib.use('Agg') 

import numpy.ma as ma 

import unittest 

from lsst.sims.maf.slicers.opsimFieldSlicer import OpsimFieldSlicer 

from lsst.sims.maf.slicers.uniSlicer import UniSlicer 

import warnings 

import lsst.utils.tests 

 

warnings.simplefilter('always') 

 

 

def makeFieldData(): 

"""Set up sample field data.""" 

# These are a subset of the fields from opsim. 

fieldId = [2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 

2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 

2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 

2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 

2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 

2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 

2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100] 

ra_rad = [1.4961071750760884, 4.009380232682723, 2.2738050744968632, 2.7527439701957053, 

6.043715459855715, 0.23946974745438585, 3.4768050063149119, 2.8063803008646744, 

4.0630173623005916, 2.2201678117208452, 4.7334418014345294, 1.5497433725869068, 

5.9900783302378473, 0.29310704352081429, 5.3196557553180082, 0.96352968501972802, 

5.9359027094472925, 0.34728263102270451, 4.6792656480113752, 1.6039197923263617, 

4.1171937820400464, 2.1659915251395399, 5.3738319087411623, 0.90935339843842322, 

3.4226285865754575, 2.8605567206041291, 4.6243097210206079, 1.658875319842678, 

5.4287873030993294, 0.85439793750118176, 5.8809462498239249, 0.40223922380247534, 

4.1721494427145123, 2.1110359976232238, 3.3676726595846915, 2.9155126475948951, 

3.3118314978483459, 2.9713538093312404, 4.2279900718200034, 2.0551952353595833, 

4.5684690919151176, 1.7147163484226187, 5.4846279322030744, 0.79855764129106599, 

5.8251056207201799, 0.45807965317074106, 5.769146214630454, 0.51403882623283237, 

4.5125086205619365, 1.7706764203013494, 5.5405873382928013, 0.74259816862400985, 

4.283950276856884, 1.9992351634808523, 3.2558718254423198, 3.0273134817372669, 

5.0265477131110696, 1.256637460910367, 3.7699109179914521, 2.5132743891881342, 

0.0, 3.7165246581483231, 2.5666606490312627, 4.9731614532679407, 1.3100238539116456, 

6.2297990473364582, 0.053386447097758416, 3.8232977104671799, 2.4598875967124063, 

5.079933972955943, 1.2032510679073434, 4.4557055250397459, 1.82747964898169, 

3.1990676646549288, 3.084117642524657, 5.7123425864756632, 0.57084272070392295, 

5.5973914990801914, 0.68579407441569451, 4.3407541713279745, 1.9424311358516118, 

3.6631498498956194, 2.6200354572839668, 6.1764234401365998, 0.10676173388483716, 

4.9197863787006817, 1.3633986621626044, 3.8766735839833384, 2.4065117231962478, 

5.1333101127866563, 1.1498751943929302, 3.1415926535897931, 5.6548662438290274, 

0.62831906335055854, 4.3982294487094107, 1.884955858470176, 3.9300611754079662, 

2.3531241317716196, 4.8663995862232081, 1.4167858541145277] 

dec_rad = [-0.25205231807872636, -0.25205228478831621, -0.25205228478831621, -0.25205228478831621, 

-0.25205145255075168, -0.25205145255075168, -0.24630904473998308, -0.24630904473998308, 

-0.24630894487049795, -0.24630894487049795, -0.24630801276519362, -0.24630801276519362, 

-0.24630799611998855, -0.24630799611998855, -0.24630796283132372, -0.24630796283132372, 

-0.24014665642446359, -0.24014665642446359, -0.24014665642446359, -0.24014665642446359, 

-0.24014655655672376, -0.24014655655672376, -0.24014653991151874, -0.24014653991151874, 

-0.24014648997764879, -0.24014648997764879, -0.23394214023110541, -0.23394214023110541, 

-0.23394209029549018, -0.23394209029549018, -0.23394204036162028, -0.23394204036162028, 

-0.23394204036162028, -0.23394204036162028, -0.23394204036162028, -0.23394204036162028, 

-0.22802912366201158, -0.22802912366201158, -0.22802899050386166, -0.22802899050386166, 

-0.22802897385865656, -0.22802897385865656, -0.22802897385865656, -0.22802897385865656, 

-0.22802804175335223, -0.22802804175335223, -0.22161461721627795, -0.22161461721627795, 

-0.22161461721627795, -0.22161461721627795, -0.22161456728240808, -0.22161456728240808, 

-0.2216145339919979, -0.2216145339919979, -0.22161446741292293, -0.22161446741292293, 

-0.21924843187676188, -0.21924843187676188, -0.21924838194289203, -0.21924838194289203, 

-0.2192483652976869, -0.2185302106194596, -0.2185302106194596, -0.2185292785141553, 

-0.2185292785141553, -0.2185292785141553, -0.2185292785141553, -0.21852919528987524, 

-0.21852919528987524, -0.21852916200121042, -0.21852916200121042, -0.21669173065121086, 

-0.21669173065121086, -0.21669169736254604, -0.21669169736254604, -0.21669083183457133, 

-0.21669083183457133, -0.21669076525549638, -0.21669076525549638, -0.2166907319650862, 

-0.2166907319650862, -0.21643082408833589, -0.21643082408833589, -0.21643080744313081, 

-0.21643080744313081, -0.21643077415446602, -0.21643077415446602, -0.21643074086405584, 

-0.21643074086405584, -0.21643062435111099, -0.21643062435111099, -0.21479804002474462, 

-0.21479794015525952, -0.21479794015525952, -0.21479784028751969, -0.21479784028751969, 

-0.21311147675042988, -0.21311147675042988, -0.2131105113547154, -0.2131105113547154] 

fieldId = np.array(fieldId, 'int') 

ra_rad = np.array(ra_rad, 'float') 

dec_rad = np.array(dec_rad, 'float') 

fieldData = np.core.records.fromarrays([fieldId, np.degrees(ra_rad), np.degrees(dec_rad)], 

names=['fieldId', 'fieldRA', 'fieldDec']) 

return fieldData 

 

 

def makeDataValues(fieldData, size=10000, min=0., max=1., random=None): 

"""Generate a simple array of numbers, evenly arranged between min/max, but (optional) random order.""" 

datavalues = np.arange(0, size, dtype='float') 

datavalues *= (float(max) - float(min)) / (datavalues.max() - datavalues.min()) 

datavalues += min 

91 ↛ 92line 91 didn't jump to line 92, because the condition on line 91 was never true if random is None: 

raise RuntimeError("Must pass in random number seed as kwarg 'random'") 

 

rng = np.random.RandomState(random) 

randorder = rng.rand(size) 

randind = np.argsort(randorder) 

datavalues = datavalues[randind] 

# Add valid fieldId values to match data values 

fieldId = np.zeros(len(datavalues), 'int') 

idxs = rng.rand(size) * len(fieldData['fieldId']) 

for i, d in enumerate(datavalues): 

fieldId[i] = fieldData[int(idxs[i])][0] 

simData = np.core.records.fromarrays([fieldId, datavalues], names=['fieldId', 'testdata']) 

return simData 

 

 

class TestOpsimFieldSlicerSetup(unittest.TestCase): 

 

def setUp(self): 

self.testslicer = OpsimFieldSlicer() 

self.fieldData = makeFieldData() 

self.simData = makeDataValues(self.fieldData, random=88) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

def testSlicertype(self): 

"""Test instantiation of slicer sets slicer type as expected.""" 

self.assertEqual(self.testslicer.slicerName, self.testslicer.__class__.__name__) 

self.assertEqual(self.testslicer.slicerName, 'OpsimFieldSlicer') 

 

def testSlicerNbins(self): 

"""Test that generate expected number of bins for a given set of fields.""" 

self.assertEqual(self.testslicer.nslice, None) 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

self.assertEqual(self.testslicer.nslice, len(self.fieldData['fieldId'])) 

 

 

class TestOpsimFieldSlicerEqual(unittest.TestCase): 

 

def setUp(self): 

self.testslicer = OpsimFieldSlicer() 

self.fieldData = makeFieldData() 

self.simData = makeDataValues(self.fieldData, random=56) 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

def testSlicerEquivalence(self): 

"""Test that slicers are marked equal when appropriate, and unequal when appropriate.""" 

# Note that opsimfield slicers are considered 'equal' when all fieldId's, RA and Decs match. 

testslicer2 = OpsimFieldSlicer() 

fieldData2 = np.copy(self.fieldData) 

testslicer2.setupSlicer(self.simData, fieldData2) 

# These slicers should be equal. 

self.assertTrue(self.testslicer == testslicer2) 

self.assertFalse(self.testslicer != testslicer2) 

# These slicers should not be equal. 

fieldData2['fieldId'] = fieldData2['fieldId'] + 1 

testslicer2.setupSlicer(self.simData, fieldData2) 

self.assertTrue(self.testslicer != testslicer2) 

self.assertFalse(self.testslicer == testslicer2) 

# Test a slicer that is not the same kind. 

testslicer2 = UniSlicer() 

self.assertNotEqual(self.testslicer, testslicer2) 

# Test slicers that haven't been setup 

ts1 = OpsimFieldSlicer() 

ts2 = OpsimFieldSlicer() 

 

self.assertTrue(ts1 == ts2) 

self.assertFalse(ts1 != ts2) 

# Set up one with an odd value. 

ts2 = OpsimFieldSlicer(fieldRaColName='WackyName') 

self.assertTrue(ts1 != ts2) 

self.assertFalse(ts1 == ts2) 

 

 

@unittest.skip('Skipping because warning does not seem to trigger reliably on py2.') 

class TestOpsimFieldSlicerWarning(unittest.TestCase): 

 

def setUp(self): 

self.testslicer = OpsimFieldSlicer() 

self.fieldData = makeFieldData() 

self.simData = makeDataValues(self.fieldData, random=4532) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

def testWarning(self): 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

with warnings.catch_warnings(record=True) as w: 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

self.assertEqual(len(w), 1) 

self.assertIn("Re-setting up an OpsimFieldSlicer", str(w[-1].message)) 

 

 

class TestOpsimFieldSlicerIteration(unittest.TestCase): 

 

def setUp(self): 

self.testslicer = OpsimFieldSlicer(latLonDeg=True) 

self.fieldData = makeFieldData() 

self.simData = makeDataValues(self.fieldData, random=776221) 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

def testIteration(self): 

"""Test iteration goes through expected range and ra/dec are in expected range (radians).""" 

for fid, ra, dec, s in zip(self.fieldData['fieldId'], np.radians(self.fieldData['fieldRA']), 

np.radians(self.fieldData['fieldDec']), self.testslicer): 

self.assertEqual(fid, s['slicePoint']['sid']) 

self.assertEqual(ra, s['slicePoint']['ra']) 

self.assertEqual(dec, s['slicePoint']['dec']) 

self.assertGreaterEqual(s['slicePoint']['sid'], 0) 

self.assertLessEqual(s['slicePoint']['ra'], 2*np.pi) 

self.assertGreaterEqual(s['slicePoint']['dec'], -np.pi) 

self.assertLessEqual(s['slicePoint']['dec'], np.pi) 

 

def testGetItem(self): 

"""Test getting indexed value.""" 

for i, s in enumerate(self.testslicer): 

dict1 = s 

dict2 = self.testslicer[i] 

np.testing.assert_array_equal(dict1['idxs'], dict2['idxs']) 

self.assertDictEqual(dict1['slicePoint'], dict2['slicePoint']) 

n = 0 

self.assertEqual(self.testslicer[n]['slicePoint']['sid'], self.fieldData['fieldId'][n]) 

self.assertEqual(self.testslicer[n]['slicePoint']['ra'], np.radians(self.fieldData['fieldRA'][n])) 

self.assertEqual(self.testslicer[n]['slicePoint']['dec'], np.radians(self.fieldData['fieldDec'][n])) 

n = len(self.testslicer) - 1 

self.assertEqual(self.testslicer[n]['slicePoint']['sid'], self.fieldData['fieldId'][n]) 

self.assertEqual(self.testslicer[n]['slicePoint']['ra'], np.radians(self.fieldData['fieldRA'][n])) 

self.assertEqual(self.testslicer[n]['slicePoint']['dec'], np.radians(self.fieldData['fieldDec'][n])) 

 

 

class TestOpsimFieldSlicerSlicing(unittest.TestCase): 

# Note that this is really testing baseSpatialSlicer, as slicing is done there for healpix grid 

 

def setUp(self): 

self.testslicer = OpsimFieldSlicer() 

self.fieldData = makeFieldData() 

self.simData = makeDataValues(self.fieldData, random=98) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

def testSlicing(self): 

"""Test slicing returns (all) data points which match fieldId values.""" 

# Test that slicing fails before setupBinner 

self.assertRaises(NotImplementedError, self.testslicer._sliceSimData, 0) 

# Set up slicer. 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

for s in self.testslicer: 

didxs = np.where(self.simData['fieldId'] == s['slicePoint']['sid']) 

binidxs = s['idxs'] 

self.assertEqual(len(binidxs), len(didxs[0])) 

254 ↛ 250line 254 didn't jump to line 250, because the condition on line 254 was never false if len(binidxs) > 0: 

didxs = np.sort(didxs[0]) 

binidxs = np.sort(binidxs) 

np.testing.assert_equal(self.simData['testdata'][didxs], self.simData['testdata'][binidxs]) 

 

 

class TestOpsimFieldSlicerPlotting(unittest.TestCase): 

 

def setUp(self): 

rng = np.random.RandomState(65332) 

self.testslicer = OpsimFieldSlicer() 

self.fieldData = makeFieldData() 

self.simData = makeDataValues(self.fieldData, random=462) 

self.testslicer.setupSlicer(self.simData, self.fieldData) 

 

self.metricdata = ma.MaskedArray(data=np.zeros(len(self.testslicer), dtype='float'), 

mask=np.zeros(len(self.testslicer), 'bool'), 

fill_value=self.testslicer.badval) 

for i, s in enumerate(self.testslicer): 

idxs = s['idxs'] 

if len(idxs) > 0: 

self.metricdata.data[i] = np.mean(self.simData['testdata'][idxs]) 

else: 

self.metricdata.mask[i] = True 

self.metricdata2 = ma.MaskedArray(data=rng.rand(len(self.testslicer)), 

mask=np.zeros(len(self.testslicer), 'bool'), 

fill_value=self.testslicer.badval) 

 

def tearDown(self): 

del self.testslicer 

self.testslicer = None 

 

 

class TestMemory(lsst.utils.tests.MemoryTestCase): 

pass 

 

 

def setup_module(module): 

lsst.utils.tests.init() 

 

 

295 ↛ 296line 295 didn't jump to line 296, because the condition on line 295 was never trueif __name__ == "__main__": 

lsst.utils.tests.init() 

unittest.main()